fix: use original jina de model instead of fp16 due to onnxruntime up…

[joein]

Starting from onnxruntime 1.23, model_fp16.onnx started failing with onnxruntime not supporting a custom layer in fp16 version of jinaai/jina-embeddings-v2-base-de, in order to mitigate this issue, I propose to replace fp16 model with the original fp32

[coderabbitai]

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: b9cf8efb-c122-4482-8cdc-4ddc8a9c66a6

📥 Commits

Reviewing files that changed from the base of the PR and between 21df54e and 85514e6.

📒 Files selected for processing (2)

• fastembed/text/pooled_normalized_embedding.py
• fastembed/text/text_embedding.py

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📝 Walkthrough

Walkthrough

These changes update the model configuration and compatibility warnings for the jina-embeddings-v2-base-de model across two files. The first file increases the reported model size from 0.32 GB to 0.64 GB and updates the ONNX artifact path from onnx/model_fp16.onnx to onnx/model.onnx. The second file removes two outdated compatibility warnings for other models and introduces a new warning specific to jina-embeddings-v2-base-de that explains the change from fp16 to fp32 execution due to onnxruntime updates.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately summarizes the main change: replacing the fp16 model with the original fp32 model for jinaai/jina-embeddings-v2-base-de due to onnxruntime compatibility issues.
Description check	✅ Passed	The description is directly related to the changeset, explaining the motivation (onnxruntime 1.23 incompatibility with fp16 custom layer) and the solution (switching to original fp32 model).

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✨ Finishing Touches

📝 Generate docstrings

• Create stacked PR
• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch use-original-jina-de-model

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